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Senior Data Engineers with CoCo exp

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Onsite

Senior Data Engineers with CoCo exp

Techila Global Services

Senior Data Engineers with CoCo exp

Skills

SnowflakeSalesforce

18 days ago

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Important information


Contract type:

Permanent

Location:

India

Work mode:

Onsite

Published on:

7 October 2026

What they need


Hybrid Pan India 6–10 yrs Apply by Nov 6, 2026

Senior Data Engineers with CoCo exp

Join Techila's team of Salesforce experts. We build senior-led transformations that deliver measurable outcomes for clients worldwide.

Experience

6–10 yrs

Employment Type

Full-time

Openings

1 position

Apply By

Nov 6, 2026

Required Skills

snowflakeCOCOData Engineer

Job Description

Senior Data Engineers with CoCo exp/Snowflake Data Engineer with CoCo exp

Agent Data Engineer Primary Focus: Development, orchestration, and maintenance of the agentic framework that automates the engineering lifecycle. Secondary Focus: Technical execution and delivery of the Data Engineering lifecycle (Discover, Build, Test, Deploy). 10+ Years Experience Senior Data Engineers with CoCo exp Key Responsibilities: Develop and refine agentic workflows using the Snowflake CoCo (CoCo) harness. Integrate LLMs, Cortex AI models, and orchestration logic to automate discovery, impact analysis, build, and testing stages. Build "Specification Driven Development" (SDD) capabilities, creating machine-readable instructions for data products. Collaborate with Data Engineers to convert manual engineering tasks into autonomous agentic patterns. Drive technical execution for data product delivery and datasets optimized for enterprise consumption. Oversee core engineering layer components, including SQL Stored Procedures, DBT models, and DataOps.Live. Maintain code quality and minimize defects while ensuring full alignment with EDO governance standards Contribute to automated engineering lifecycles—covering ingestion through deployment—via platform-agnostic frameworks. Essential Skills: AI/GenAI Engineering: Deep experience with Cortex Skills, LLM integration, and Retrieval-Augmented Generation (RAG) concepts. Agentic Frameworks: Proficiency in building and maintaining agentic workflows (e.g., CoCo CLI, Model Context Protocol). Foundational Knowledge: Solid background in data engineering (SQL, Python) to bridge the gap between AI capabilities and data platform requirements. Core Engineering Competencies: Advanced technical mastery of SQL, DBT models, and DataOps.Live (DOL) orchestration. Platform Expertise: Comprehensive proficiency across the Snowflake ecosystem and its integrated service offerings. Data Product Lifecycle: Strategic command of multi-tier architectures (Bronze, Silver, Gold) and the management of enterprise-grade data products.

At a Glance

Work ModeHybrid

EmploymentFull-time

Experience6–10 yrs

Openings1

LocationPan India

DeadlineNov 6, 2026

[ Hiring process ]

What to expect

Four stages, typically completed within 2–3 weeks. We respect your time — every stage has a clear purpose and timely feedback.

  • STEP 0130 min

    Screening Call

    Introductory conversation with our talent team to understand your background and motivations.

  • STEP 0260–90 min

    Technical Round

    Live problem-solving with a senior architect on Salesforce design, integrations, or domain depth.

  • STEP 0345 min

    Culture Fit

    Conversation with practice leadership covering working style, ownership, and how you collaborate.

  • STEP 04Within 5 days

    Offer

    Formal offer with full compensation breakdown, start date, and onboarding plan.

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